MLflow trace storage in Unity Catalog is now generally available

MLflow trace storage in Unity Catalog tables is now generally available. Databricks recommends storing traces in Unity Catalog for new and production workloads: storage is unlimited, traces are stored in OpenTelemetry (OTel) format, access is governed through Unity Catalog schema and table permissions, and you can query traces with SQL, Genie, AI/BI dashboards, and any Spark based tool. To view traces, point an MLflow experiment at a Unity Catalog trace location.